{"pageNumber":"729","pageRowStart":"18200","pageSize":"25","recordCount":40783,"records":[{"id":70005507,"text":"70005507 - 2011 - Use of upscaled elevation and surface roughness data in two-dimensional surface water models","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"70005507","displayToPublicDate":"2012-01-22T15:41:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Use of upscaled elevation and surface roughness data in two-dimensional surface water models","docAbstract":"In this paper, we present an approach that uses a combination of cell-block- and cell-face-averaging of high-resolution cell elevation and roughness data to upscale hydraulic parameters and accurately simulate surface water flow in relatively low-resolution numerical models. The method developed allows channelized features that preferentially connect large-scale grid cells at cell interfaces to be represented in models where these features are significantly smaller than the selected grid size. The developed upscaling approach has been implemented in a two-dimensional finite difference model that solves a diffusive wave approximation of the depth-integrated shallow surface water equations using preconditioned Newton–Krylov methods. Computational results are presented to show the effectiveness of the mixed cell-block and cell-face averaging upscaling approach in maintaining model accuracy, reducing model run-times, and how decreased grid resolution affects errors. Application examples demonstrate that sub-grid roughness coefficient variations have a larger effect on simulated error than sub-grid elevation variations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Advances in Water Resources","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, The Netherlands","doi":"10.1016/j.advwatres.2011.02.004","usgsCitation":"Hughes, J., Decker, J., and Langevin, C., 2011, Use of upscaled elevation and surface roughness data in two-dimensional surface water models: Advances in Water Resources, v. 34, no. 9, p. 1151-1164, https://doi.org/10.1016/j.advwatres.2011.02.004.","productDescription":"14 p.","startPage":"1151","endPage":"1164","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":204682,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115748,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.advwatres.2011.02.004","linkFileType":{"id":5,"text":"html"}}],"volume":"34","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbfabe4b08c986b329cce","contributors":{"authors":[{"text":"Hughes, J.D.","contributorId":25539,"corporation":false,"usgs":true,"family":"Hughes","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":352679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Decker, J.D.","contributorId":66418,"corporation":false,"usgs":true,"family":"Decker","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":352681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langevin, C.D.","contributorId":25976,"corporation":false,"usgs":true,"family":"Langevin","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":352680,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70007165,"text":"70007165 - 2011 - A Markov decision process for managing habitat for Florida scrub-jays","interactions":[],"lastModifiedDate":"2019-06-21T16:04:07","indexId":"70007165","displayToPublicDate":"2012-01-20T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"A Markov decision process for managing habitat for Florida scrub-jays","docAbstract":"Florida scrub-jays Aphelocoma coerulescens are listed as threatened under the Endangered Species Act due to loss and degradation of scrub habitat. This study concerned the development of an optimal strategy for the restoration and management of scrub habitat at Merritt Island National Wildlife Refuge, which contains one of the few remaining large populations of scrub-jays in Florida. There are documented differences in the reproductive and survival rates of scrubjays among discrete classes of scrub height (<120 cm or \"short\"; 120-170 cm or \"optimal\"; .170 cm or \"tall\"; and a combination of tall and optimal or \"mixed\"), and our objective was to calculate a state-dependent management strategy that would maximize the long-term growth rate of the resident scrub-jay population. We used aerial imagery with multistate Markov models to estimate annual transition probabilities among the four scrub-height classes under three possible management actions: scrub restoration (mechanical cutting followed by burning), a prescribed burn, or no intervention. A strategy prescribing the optimal management action for management units exhibiting different proportions of scrub-height classes was derived using dynamic programming. Scrub restoration was the optimal management action only in units dominated by mixed and tall scrub, and burning tended to be the optimal action for intermediate levels of short scrub. The optimal action was to do nothing when the amount of short scrub was greater than 30%, because short scrub mostly transitions to optimal height scrub (i.e., that state with the highest demographic success of scrub-jays) in the absence of intervention. Monte Carlo simulation of the optimal policy suggested that some form of management would be required every year. We note, however, that estimates of scrub-height transition probabilities were subject to several sources of uncertainty, and so we explored the management implications of alternative sets of transition probabilities. Generally, our analysis demonstrated the difficulty of managing for a species that requires midsuccessional habitat, and suggests that innovative management tools may be needed to help ensure the persistence of scrub-jays at Merritt Island National Wildlife Refuge. The development of a tailored monitoring program as a component of adaptive management could help reduce uncertainty about controlled and uncontrolled variation in transition probabilities of scrub-height and thus lead to improved decision making.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Fish and Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Fish and Wildlife Service","publisherLocation":"Arlington, VA","doi":"10.3996/012011-JFWM-003","usgsCitation":"Johnson, F.A., Breininger, D.R., Duncan, B.W., Nichols, J., Runge, M.C., and Williams, B.K., 2011, A Markov decision process for managing habitat for Florida scrub-jays: Journal of Fish and Wildlife Management, v. 2, no. 2, p. 234-246, https://doi.org/10.3996/012011-JFWM-003.","productDescription":"13 p.","startPage":"234","endPage":"246","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474779,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/012011-jfwm-003","text":"Publisher Index Page"},{"id":204634,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115665,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3996/012011-JFWM-003","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","volume":"2","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e2e9e4b0c8380cd45d15","contributors":{"authors":[{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":356001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breininger, David R.","contributorId":6990,"corporation":false,"usgs":true,"family":"Breininger","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":356003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duncan, Brean W.","contributorId":32663,"corporation":false,"usgs":true,"family":"Duncan","given":"Brean","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":356004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":356000,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":356002,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, B. Ken","contributorId":44663,"corporation":false,"usgs":true,"family":"Williams","given":"B.","email":"","middleInitial":"Ken","affiliations":[],"preferred":false,"id":356005,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70007134,"text":"sir20115203 - 2011 - Improvement in precipitation-runoff model simulations by recalibration with basin-specific data, and subsequent model applications, Onondaga Lake Basin, Onondaga County, New York","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"sir20115203","displayToPublicDate":"2012-01-18T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5203","title":"Improvement in precipitation-runoff model simulations by recalibration with basin-specific data, and subsequent model applications, Onondaga Lake Basin, Onondaga County, New York","docAbstract":"Water-resource managers in Onondaga County, New York, are faced with the challenge of improving the water quality of Onondaga Lake, which has the distinction of being one of the most contaminated lakes in the United States. To assist in this endeavor, during 2003-07 the U.S. Geological Survey (USGS), in cooperation with the Onondaga Lake Partnership, developed a precipitation-runoff model of the 285-square-mile Onondaga Lake Basin with the computer program Hydrological Simulation Program-Fortran (HSPF). The model was intended to provide a tool whereby the processes responsible for the generation of loads of sediment and nutrients that are transported to Onondaga Lake could be better understood. This objective was only partly attained because data for calibration of the model were available from monitoring sites only at or near the mouths of the major tributaries to Onondaga Lake; no calibration data from headwater subbasins, where the loads originated, were available. To address this limitation and thereby decrease the uncertainty in the simulated results that were associated with headwater processes, the USGS conducted a 3-year (2005-08) basinwide study to assess the quality of surface water in the Onondaga Lake Basin. The study quantified the relative contributions of nonpoint sources associated with the major land uses and land covers in the basin and also monitored known sources and presumed sinks of sediment and nutrient loads, which previously had not been evaluated. The use of the newly acquired data to recalibrate the HSPF model resulted in improvements in the simulation of processes in the headwater subbasins, including suspended-sediment, orthophosphate, and phosphorus generation and transport.\nSimulation of streamflows in small subbasins was improved by adjusting model parameter values to match base flows, storm peaks, and storm recessions more precisely than had been done with the original model. Simulated recessional and low flows were either increased or decreased as appropriate for a given stream, and simulated peak flows generally were lowered in the revised model. The use of suspended-sediment concentrations rather than concentrations of the surrogate constituent, total suspended solids, resulted in increases in the simulated low-flow sediment concentrations and, in most cases, decreases in the simulated peak-flow sediment concentrations. Simulated orthophosphate concentrations in base flows generally increased but decreased for peak flows in selected headwater subbasins in the revised model. Compared with the original model, phosphorus concentrations simulated by the revised model were comparable in forested subbasins, generally decreased in developed and wetland-dominated subbasins, and increased in agricultural subbasins. A final revision to the model was made by the addition of the simulation of chloride (salt) concentrations in the Onondaga Creek Basin to help water-resource managers better understand the relative contributions of salt from multiple sources in this particular tributary. The calibrated revised model was used to (1) compute loading rates for the various land types that were simulated in the model, (2) conduct a watershed-management analysis that estimated the portion of the total load that was likely to be transported to Onondaga Lake from each of the modeled subbasins, (3) compute and assess chloride loads to Onondaga Lake from the Onondaga Creek Basin, and (4) simulate precolonization (forested) conditions in the basin to estimate the probable minimum phosphorus loads to the lake.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115203","collaboration":"Prepared in cooperation with the Onondaga Lake Partnership","usgsCitation":"Coon, W.F., 2011, Improvement in precipitation-runoff model simulations by recalibration with basin-specific data, and subsequent model applications, Onondaga Lake Basin, Onondaga County, New York: U.S. Geological Survey Scientific Investigations Report 2011-5203, x, 37 p., https://doi.org/10.3133/sir20115203.","productDescription":"x, 37 p.","onlineOnly":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":116441,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5203.gif"},{"id":112501,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5203/","linkFileType":{"id":5,"text":"html"}}],"state":"New York","county":"Onondaga","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.5,42.7 ], [ -76.5,43.166666666666664 ], [ -75.96666666666667,43.166666666666664 ], [ -75.96666666666667,42.7 ], [ -76.5,42.7 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3969e4b0c8380cd618f8","contributors":{"authors":[{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355918,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70006356,"text":"70006356 - 2011 - Twitter earthquake detection: Earthquake monitoring in a social world","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"70006356","displayToPublicDate":"2012-01-17T10:09:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":793,"text":"Annals of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Twitter earthquake detection: Earthquake monitoring in a social world","docAbstract":"The U.S. Geological Survey (USGS) is investigating how the social networking site Twitter, a popular service for sending and receiving short, public text messages, can augment USGS earthquake response products and the delivery of hazard information. Rapid detection and qualitative assessment of shaking events are possible because people begin sending public Twitter messages (tweets) with in tens of seconds after feeling shaking. Here we present and evaluate an earthquake detection procedure that relies solely on Twitter data. A tweet-frequency time series constructed from tweets containing the word \"earthquake\" clearly shows large peaks correlated with the origin times of widely felt events. To identify possible earthquakes, we use a short-term-average, long-term-average algorithm. When tuned to a moderate sensitivity, the detector finds 48 globally-distributed earthquakes with only two false triggers in five months of data. The number of detections is small compared to the 5,175 earthquakes in the USGS global earthquake catalog for the same five-month time period, and no accurate location or magnitude can be assigned based on tweet data alone. However, Twitter earthquake detections are not without merit. The detections are generally caused by widely felt events that are of more immediate interest than those with no human impact. The detections are also fast; about 75% occur within two minutes of the origin time. This is considerably faster than seismographic detections in poorly instrumented regions of the world. The tweets triggering the detections also provided very short first-impression narratives from people who experienced the shaking.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Annals of Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Istituto Nazionale di Geofisica e Vulcanologia","publisherLocation":"Rome, Italy","doi":"10.4401/ag-5364","usgsCitation":"Earle, P.S., Bowden, D.C., and Guy, M., 2011, Twitter earthquake detection: Earthquake monitoring in a social world: Annals of Geophysics, v. 54, no. 6, p. 708-715, https://doi.org/10.4401/ag-5364.","productDescription":"8 p.","startPage":"708","endPage":"715","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474780,"rank":101,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4401/ag-5364","text":"Publisher Index Page"},{"id":204580,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115694,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.4401/ag-5364","linkFileType":{"id":5,"text":"html"}}],"volume":"54","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-01-14","publicationStatus":"PW","scienceBaseUri":"505bb947e4b08c986b327ba5","contributors":{"authors":[{"text":"Earle, Paul S. pearle@usgs.gov","contributorId":840,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":354370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowden, Daniel C.","contributorId":70918,"corporation":false,"usgs":true,"family":"Bowden","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":354372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, Michelle R. mguy@usgs.gov","contributorId":4235,"corporation":false,"usgs":true,"family":"Guy","given":"Michelle R.","email":"mguy@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":354371,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70006021,"text":"70006021 - 2011 - Tumor prevalence and biomarkers of genotoxicity in brown bullhead (Ameiurus nebulosus) in Chesapeake Bay tributaries","interactions":[],"lastModifiedDate":"2021-04-01T20:26:34.170909","indexId":"70006021","displayToPublicDate":"2012-01-17T09:46:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Tumor prevalence and biomarkers of genotoxicity in brown bullhead (<i>Ameiurus nebulosus</i>) in Chesapeake Bay tributaries","title":"Tumor prevalence and biomarkers of genotoxicity in brown bullhead (Ameiurus nebulosus) in Chesapeake Bay tributaries","docAbstract":"<p><span>We surveyed four Chesapeake Bay tributaries for skin and liver tumors in brown bullhead (</span><i>Ameiurus nebulosus</i><span>). We focused on the South River, where the highest skin tumor prevalence (53%) in the Bay watershed had been reported. The objectives were to 1) compare tumor prevalence with nearby rivers (Severn and Rhode) and a more remote river (Choptank); 2) investigate associations between tumor prevalence and polynuclear aromatic hydrocarbons (PAHs) and alkylating agents; and 3) statistically analyze Chesapeake Bay bullhead tumor data from 1992 through 2008. All four South River collections exhibited high skin tumor prevalence (19% to 58%), whereas skin tumor prevalence was 2%, 10%, and 52% in the three Severn collections; 0% and 2% in the Choptank collections; and 5.6% in the Rhode collection. Liver tumor prevalence was 0% to 6% in all but one South River collection (20%) and 0% to 6% in the three other rivers. In a subset of samples, PAH-like biliary metabolites and&nbsp;</span><sup>32</sup><span>P-DNA adducts were used as biomarkers of exposure and response to polycyclic aromatic compounds (PACs). Adducts from alkylating agents were detected as O6-methyl-2′-deoxyguanosine (O6Me-dG) and O6-ethyl-2′-deoxyguanosine (O6Et-dG) modified DNA. Bullheads from the contaminated Anacostia River were used as a positive control for DNA adducts.&nbsp;</span><sup>32</sup><span>P-DNA adduct concentrations were significantly higher in Anacostia bullhead livers compared with the other rivers. We identified alkyl DNA adducts in bullhead livers from the South and Anacostia, but not the Choptank. Neither the PAH-like bile metabolite data, sediment PAH data, nor the DNA adduct data suggest an association between liver or skin tumor prevalence and exposure to PACs or alkylating agents in the South, Choptank, Severn, or Rhode rivers. Logistic regression analysis of the Chesapeake Bay database revealed that sex and length were significant covariates for liver tumors and length was a significant covariate for skin tumors.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2011.09.035","usgsCitation":"Pinkney, A.E., Harshbarger, J., Karouna-Renier, N., Jenko, K., Balk, L., Skarphedinsdottir, H., Liewenborg, B., and Rutter, M.A., 2011, Tumor prevalence and biomarkers of genotoxicity in brown bullhead (Ameiurus nebulosus) in Chesapeake Bay tributaries: Science of the Total Environment, v. 410-411, p. 248-257, https://doi.org/10.1016/j.scitotenv.2011.09.035.","productDescription":"10 p.","startPage":"248","endPage":"257","temporalStart":"1992-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":204578,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed, South River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.2333984375,\n              36.914764288955936\n            ],\n            [\n              -75.1025390625,\n              36.914764288955936\n            ],\n            [\n              -75.1025390625,\n              39.926588421909436\n            ],\n            [\n              -79.2333984375,\n              39.926588421909436\n            ],\n            [\n              -79.2333984375,\n              36.914764288955936\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"410-411","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb8bfe4b08c986b327a46","contributors":{"authors":[{"text":"Pinkney, Alfred E.","contributorId":14253,"corporation":false,"usgs":false,"family":"Pinkney","given":"Alfred","email":"","middleInitial":"E.","affiliations":[{"id":12750,"text":"U.S. Fish and Wildlife Service, Annapolis, MD","active":true,"usgs":false}],"preferred":false,"id":353687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harshbarger, John C.","contributorId":85928,"corporation":false,"usgs":true,"family":"Harshbarger","given":"John C.","affiliations":[],"preferred":false,"id":353691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karouna-Renier, Natalie K. 0000-0001-7127-033X","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":17357,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie K.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":353688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenko, Kathryn","contributorId":6720,"corporation":false,"usgs":true,"family":"Jenko","given":"Kathryn","email":"","affiliations":[],"preferred":false,"id":353685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balk, Lennart","contributorId":38844,"corporation":false,"usgs":true,"family":"Balk","given":"Lennart","affiliations":[],"preferred":false,"id":353689,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Skarphedinsdottir, Halldora","contributorId":52832,"corporation":false,"usgs":true,"family":"Skarphedinsdottir","given":"Halldora","email":"","affiliations":[],"preferred":false,"id":353690,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liewenborg, Birgitta","contributorId":101940,"corporation":false,"usgs":true,"family":"Liewenborg","given":"Birgitta","email":"","affiliations":[],"preferred":false,"id":353692,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rutter, Michael A.","contributorId":13938,"corporation":false,"usgs":true,"family":"Rutter","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":353686,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70003950,"text":"70003950 - 2011 - Trout piscivory in the Colorado River, Grand Canyon: Effects of turbidity, temperature, and fish prey availability","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"70003950","displayToPublicDate":"2012-01-17T09:06:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Trout piscivory in the Colorado River, Grand Canyon: Effects of turbidity, temperature, and fish prey availability","docAbstract":"Introductions of nonnative salmonids, such as rainbow trout <i>Oncorhynchus mykiss</i> and brown trout <i>Salmo trutta</i>, have affected native fishes worldwide in unforeseen and undesirable ways. Predation and other interactions with nonnative rainbow trout and brown trout have been hypothesized as contributing to the decline of native fishes (including the endangered humpback chub <i>Gila cypha</i>) in the Colorado River, Grand Canyon. A multiyear study was conducted to remove nonnative fish from a 15-km segment of the Colorado River near the Little Colorado River confluence. We evaluated how sediment, temperature, fish prey availability, and predator abundance influenced the incidence of piscivory (IP) by nonnative salmonids. Study objectives were addressed through spatial (upstream and downstream of the Little Colorado River confluence) and temporal (seasonal and annual) comparisons of prey availability and predator abundance. Data were then evaluated by modeling the quantity of fish prey ingested by trout during the first 2 years (2003&ndash;2004) of the mechanical removal period. Field effort resulted in the capture of 20,000 nonnative fish, of which 90% were salmonids. Results indicated that the brown trout IP was higher (8&ndash;70%) than the rainbow trout IP (0.5&ndash;3.3%); however, rainbow trout were 50 times more abundant than brown trout in the study area. We estimated that during the study period, over 30,000 fish (native and nonnative species combined) were consumed by rainbow trout (21,641 fish) and brown trout (11,797 fish). On average, rainbow trout and brown trout ingested 85% more native fish than nonnative fish in spite of the fact that native fish constituted less than 30% of the small fish available in the study area. Turbidity may mediate piscivory directly by reducing prey detection, but this effect was not apparent in our data, as rainbow trout IP was greater when suspended sediment levels (range = 5.9&ndash;20,000 mg/L) were higher.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Talor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/00028487.2011.572011","usgsCitation":"Yard, M., Coggins, Baxter, C., Bennett, G., and Korman, J., 2011, Trout piscivory in the Colorado River, Grand Canyon: Effects of turbidity, temperature, and fish prey availability: Transactions of the American Fisheries Society, v. 140, no. 2, p. 471-486, https://doi.org/10.1080/00028487.2011.572011.","productDescription":"16 p.","startPage":"471","endPage":"486","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":204579,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21753,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1080/00028487.2011.572011","linkFileType":{"id":5,"text":"html"}}],"volume":"140","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-04-13","publicationStatus":"PW","scienceBaseUri":"505bb89de4b08c986b327977","contributors":{"authors":[{"text":"Yard, Michael D. 0000-0002-6580-6027","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":8577,"corporation":false,"usgs":true,"family":"Yard","given":"Michael D.","affiliations":[],"preferred":false,"id":349685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coggins, Jr.","contributorId":54306,"corporation":false,"usgs":true,"family":"Coggins","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":349688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baxter, Colden V.","contributorId":47334,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden V.","affiliations":[{"id":13656,"text":"Idaho State Univ.","active":true,"usgs":false}],"preferred":false,"id":349687,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Glenn E. gbennett@usgs.gov","contributorId":4153,"corporation":false,"usgs":true,"family":"Bennett","given":"Glenn E.","email":"gbennett@usgs.gov","affiliations":[],"preferred":true,"id":349684,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Korman, Josh","contributorId":29922,"corporation":false,"usgs":true,"family":"Korman","given":"Josh","affiliations":[],"preferred":false,"id":349686,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005313,"text":"70005313 - 2011 - Transient groundwater chemistry near a river: Effects on U(VI) transport in laboratory column experiments","interactions":[],"lastModifiedDate":"2022-08-29T14:57:19.94641","indexId":"70005313","displayToPublicDate":"2012-01-15T14:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Transient groundwater chemistry near a river: Effects on U(VI) transport in laboratory column experiments","docAbstract":"<p><span>In the 300 Area of a U(VI)-contaminated aquifer at Hanford, Washington, USA, inorganic carbon and major cations, which have large impacts on U(VI) transport, change on an hourly and seasonal basis near the Columbia River. Batch and column experiments were conducted to investigate the factors controlling U(VI) adsorption/desorption by changing chemical conditions over time. Low alkalinity and low Ca concentrations (Columbia River water) enhanced adsorption and reduced aqueous concentrations. Conversely, high alkalinity and high Ca concentrations (Hanford groundwater) reduced adsorption and increased aqueous concentrations of U(VI). An equilibrium surface complexation model calibrated using laboratory batch experiments accounted for the decrease in U(VI) adsorption observed with increasing (bi)carbonate concentrations and other aqueous chemical conditions. In the column experiment, alternating pulses of river and groundwater caused swings in aqueous U(VI) concentration. A multispecies multirate surface complexation reactive transport model simulated most of the major U(VI) changes in two column experiments. The modeling results also indicated that U(VI) transport in the studied sediment could be simulated by using a single kinetic rate without loss of accuracy in the simulations. Moreover, the capability of the model to predict U(VI) transport in Hanford groundwater under transient chemical conditions depends significantly on the knowledge of real-time change of local groundwater chemistry.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010WR009369","usgsCitation":"Yin, J., Haggerty, R., Stoliker, D., Kent, D.B., Istok, J.D., Greskowiak, J., and Zachara, J.M., 2011, Transient groundwater chemistry near a river: Effects on U(VI) transport in laboratory column experiments: Water Resources Research, v. 47, no. 4, W04502, 11 p., https://doi.org/10.1029/2010WR009369.","productDescription":"W04502, 11 p.","onlineOnly":"Y","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":204702,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","county":"Benton 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Jun","contributorId":88491,"corporation":false,"usgs":true,"family":"Yin","given":"Jun","email":"","affiliations":[],"preferred":false,"id":352267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haggerty, Roy","contributorId":102631,"corporation":false,"usgs":true,"family":"Haggerty","given":"Roy","affiliations":[],"preferred":false,"id":352268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoliker, Deborah L. dlstoliker@usgs.gov","contributorId":2954,"corporation":false,"usgs":true,"family":"Stoliker","given":"Deborah L.","email":"dlstoliker@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":352264,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":352263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Istok, Jonathan D.","contributorId":35468,"corporation":false,"usgs":true,"family":"Istok","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":352266,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Greskowiak, Janek","contributorId":108254,"corporation":false,"usgs":true,"family":"Greskowiak","given":"Janek","email":"","affiliations":[],"preferred":false,"id":352269,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zachara, John M.","contributorId":7421,"corporation":false,"usgs":true,"family":"Zachara","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":352265,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70004832,"text":"70004832 - 2011 - Trace and minor element variations and sulfur isotopes in crystalline and colloform ZnS: Incorporation mechanisms and implications for their genesis","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"70004832","displayToPublicDate":"2012-01-15T09:13:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Trace and minor element variations and sulfur isotopes in crystalline and colloform ZnS: Incorporation mechanisms and implications for their genesis","docAbstract":"Various models have been proposed to explain the formation mechanism of colloform sphalerite, but the origin is still under debate. In order to decipher influences on trace element incorporation and sulfur isotope composition, crystalline and colloform sphalerite from the carbonate-hosted Mississippi-Valley Type (MVT) deposit near Wiesloch, SW Germany, were investigated and compared to sphalerite samples from 52 hydrothermal vein-type deposits in the Schwarzwald ore district, SW Germany to study the influence of different host rocks, formation mechanisms and fluid origin on trace element incorporation. Trace and minor element incorporation in sphalerite shows some correlation to their host rock and/or origin of fluid, gangue, paragenetic minerals and precipitation mechanisms (e.g., diagenetic processes, fluid cooling or fluid mixing). Furthermore, crystalline sphalerite is generally enriched in elements like Cd, Cu, Sb and Ag compared to colloform sphalerite that mainly incorporates elements like As, Pb and Tl. In addition, sulfur isotopes are characterized by positive values for crystalline and strongly negative values for colloform sphalerite. The combination of trace element contents, typical minerals associated with colloform sphalerite from Wiesloch, sulfur isotopes and thermodynamic considerations helped to evaluate the involvement of sulfate-reducing bacteria in water-filled karst cavities. Sulfate-reducing bacteria cause a sulfide-rich environment that leads in case of a metal-rich fluid supply to a sudden oversaturation of the fluid with respect to galena, sphalerite and pyrite. This, however, exactly coincides with the observed crystallization sequence of samples involving colloform sphalerite from the Wiesloch MVT deposit.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.chemgeo.2011.04.018","usgsCitation":"Pfaff, K., Koenig, A., Wenzel, T., Ridley, I., Hildebrandt, L.H., Leach, D.L., and Markl, G., 2011, Trace and minor element variations and sulfur isotopes in crystalline and colloform ZnS: Incorporation mechanisms and implications for their genesis: Chemical Geology, v. 286, no. 3-4, p. 118-134, https://doi.org/10.1016/j.chemgeo.2011.04.018.","productDescription":"17 p.","startPage":"118","endPage":"134","numberOfPages":"17","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":204575,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115675,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.04.018","linkFileType":{"id":5,"text":"html"}}],"country":"Germany","city":"Wiesloch","volume":"286","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb630e4b08c986b326af6","contributors":{"authors":[{"text":"Pfaff, Katharina","contributorId":49916,"corporation":false,"usgs":true,"family":"Pfaff","given":"Katharina","affiliations":[],"preferred":false,"id":351441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koenig, Alan 0000-0002-5230-0924","orcid":"https://orcid.org/0000-0002-5230-0924","contributorId":63159,"corporation":false,"usgs":true,"family":"Koenig","given":"Alan","affiliations":[],"preferred":false,"id":351442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wenzel, Thomas","contributorId":12975,"corporation":false,"usgs":true,"family":"Wenzel","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":351439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ridley, Ian","contributorId":23244,"corporation":false,"usgs":true,"family":"Ridley","given":"Ian","email":"","affiliations":[],"preferred":false,"id":351440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hildebrandt, Ludwig H.","contributorId":101375,"corporation":false,"usgs":true,"family":"Hildebrandt","given":"Ludwig","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":351445,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leach, David L.","contributorId":83902,"corporation":false,"usgs":true,"family":"Leach","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":351444,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Markl, Gregor","contributorId":73732,"corporation":false,"usgs":true,"family":"Markl","given":"Gregor","email":"","affiliations":[],"preferred":false,"id":351443,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70007130,"text":"70007130 - 2011 - Ruddy Shelduck <i>Tadorna ferruginea</i> home range and habitat use during the non-breeding season in Assam, India","interactions":[],"lastModifiedDate":"2019-06-21T14:49:38","indexId":"70007130","displayToPublicDate":"2012-01-12T17:10:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"title":"Ruddy Shelduck <i>Tadorna ferruginea</i> home range and habitat use during the non-breeding season in Assam, India","docAbstract":"India is an important non-breeding ground for migratory waterfowl in the Central Asian Flyway. Millions of birds visit wetlands across the country, yet information on their distribution, abundance, and use of resources is rudimentary at best. Limited information suggests that populations of several species of migratory ducks are declining due to encroachment of wetland habitats largely by agriculture and industry. The development of conservation strategies is stymied by a lack of ecological information on these species. We conducted a preliminary assessment of the home range and habitat use of Ruddy Shelduck <i>Tadorna ferruginea</i> in the northeast Indian state of Assam. Seven Ruddy Shelducks were fitted with solar-powered Global Positioning System (GPS) satellite transmitters, and were tracked on a daily basis during the winter of 2009-2010. Locations from all seven were used to describe habitat use, while locations from four were used to quantify their home range, as the other three had too few locations (< 30) for home range estimation. A Brownian Bridge Movement Model (BBMM), used to estimate home ranges, found that the Ruddy Shelduck had an average core use area (i.e. the contour defining 50% of positions) of 40 km<sup>2</sup> (range = 22-87 km<sup>2</sup>) and an average home range (95% contour) of 610 km<sup>2</sup> (range = 222-1,550 km<sup>2</sup>). Resource Selection Functions (RSF), used to describe habitat use, showed that the birds frequented riverine wetlands more than expected, occurred on grasslands and shrublands in proportion to their availability, and avoided woods and cropland habitats. The core use areas for three individuals (75%) were on the Brahmaputra River, indicating their preference for riverine habitats. Management and protection of riverine habitats and nearby grasslands may benefit conservation efforts for the Ruddy Shelduck and waterfowl species that share these habitats during the non-breeding season.","language":"English","publisher":"Wildfowl & Wetlands Trust","publisherLocation":"Slimbridge, Gloucestershire","usgsCitation":"Namgail, T., Takekawa, J.Y., Sivananinthaperumal, B., Areendran, G., Sathiyaselvam, P., Mundkur, T., Mccracken, T., and Newman, S., 2011, Ruddy Shelduck <i>Tadorna ferruginea</i> home range and habitat use during the non-breeding season in Assam, India: Wildfowl, v. 61, p. 182-193.","productDescription":"12 p.","startPage":"182","endPage":"193","temporalStart":"2009-12-22","temporalEnd":"2010-03-21","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":328995,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/1243"},{"id":204590,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","state":"Assam","volume":"61","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aaeb6e4b0c8380cd8719e","contributors":{"authors":[{"text":"Namgail, T.","contributorId":72526,"corporation":false,"usgs":true,"family":"Namgail","given":"T.","affiliations":[],"preferred":false,"id":355910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":355909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sivananinthaperumal, B.","contributorId":96006,"corporation":false,"usgs":true,"family":"Sivananinthaperumal","given":"B.","affiliations":[],"preferred":false,"id":355912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Areendran, G.","contributorId":79620,"corporation":false,"usgs":true,"family":"Areendran","given":"G.","email":"","affiliations":[],"preferred":false,"id":355911,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sathiyaselvam, P.","contributorId":51015,"corporation":false,"usgs":true,"family":"Sathiyaselvam","given":"P.","affiliations":[],"preferred":false,"id":355907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mundkur, T.","contributorId":60151,"corporation":false,"usgs":true,"family":"Mundkur","given":"T.","affiliations":[],"preferred":false,"id":355908,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mccracken, T.","contributorId":25697,"corporation":false,"usgs":true,"family":"Mccracken","given":"T.","email":"","affiliations":[],"preferred":false,"id":355906,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Newman, S.","contributorId":7678,"corporation":false,"usgs":true,"family":"Newman","given":"S.","affiliations":[],"preferred":false,"id":355905,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70003359,"text":"70003359 - 2011 - Tidal Boundary Conditions in SEAWAT","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"70003359","displayToPublicDate":"2012-01-08T15:46:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Tidal Boundary Conditions in SEAWAT","docAbstract":"SEAWAT, a U.S. Geological Survey groundwater flow and transport code, is increasingly used to model the effects of tidal motion on coastal aquifers. Different options are available to simulate tidal boundaries but no guidelines exist nor have comparisons been made to identify the most effective approach. We test seven methods to simulate a sloping beach and a tidal flat. The ocean is represented in one of the three ways: directly using a high hydraulic conductivity (high-<i>K</i>) zone and indirect simulation via specified head boundaries using either the General Head Boundary (GHB) or the new Periodic Boundary Condition (PBC) package. All beach models simulate similar water fluxes across the upland boundary and across the sediment-water interface although the ratio of intertidal to subtidal flow is different at low tide. Simulating a seepage face results in larger intertidal fluxes and influences near-shore heads and salinity. Major differences in flow occur in the tidal flat simulations. Because SEAWAT does not simulate unsaturated flow the water table only rises via flow through the saturated zone. This results in delayed propagation of the rising tidal signal inland. Inundation of the tidal flat is delayed as is flow into the aquifer across the flat. This is severe in the high-<i>K</i> and PBC models but mild in the GHB models. Results indicate that any of the tidal boundary options are fine if the ocean-aquifer interface is steep. However, as the slope of that interface decreases, the high-<i>K</i> and PBC approaches perform poorly and the GHB boundary is preferable.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Ground Water Association","publisherLocation":"Westerville, OH","doi":"10.1111/j.1745-6584.2010.00788.x","usgsCitation":"Mulligan, A.E., Langevin, C., and Post, V., 2011, Tidal Boundary Conditions in SEAWAT: Ground Water, v. 49, no. 6, p. 866-879, https://doi.org/10.1111/j.1745-6584.2010.00788.x.","productDescription":"14 p.","startPage":"866","endPage":"879","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":112481,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2010.00788.x","linkFileType":{"id":5,"text":"html"}},{"id":204240,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-01-28","publicationStatus":"PW","scienceBaseUri":"505bb35fe4b08c986b325d64","contributors":{"authors":[{"text":"Mulligan, Ann E.","contributorId":69290,"corporation":false,"usgs":true,"family":"Mulligan","given":"Ann","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":347011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian","contributorId":13365,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","affiliations":[],"preferred":false,"id":347009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Post, Vincent","contributorId":55953,"corporation":false,"usgs":true,"family":"Post","given":"Vincent","email":"","affiliations":[],"preferred":false,"id":347010,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003989,"text":"70003989 - 2011 - The role of demographic compensation theory in incidental take assessments for endangered species","interactions":[],"lastModifiedDate":"2012-02-02T00:16:00","indexId":"70003989","displayToPublicDate":"2012-01-08T11:49:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"The role of demographic compensation theory in incidental take assessments for endangered species","docAbstract":"Many endangered species laws provide exceptions to legislated prohibitions through incidental take provisions as long as take is the result of unintended consequences of an otherwise legal activity. These allowances presumably invoke the theory of demographic compensation, commonly applied to harvested species, by allowing limited harm as long as the probability of the species' survival or recovery is not reduced appreciably. Demographic compensation requires some density-dependent limits on survival or reproduction in a species' annual cycle that can be alleviated through incidental take. Using a population model for piping plovers in the Great Plains, we found that when the population is in rapid decline or when there is no density dependence, the probability of quasi-extinction increased linearly with increasing take. However, when the population is near stability and subject to density-dependent survival, there was no relationship between quasi-extinction probability and take rates. We note however, that a brief examination of piping plover demography and annual cycles suggests little room for compensatory capacity. We argue that a population's capacity for demographic compensation of incidental take should be evaluated when considering incidental allowances because compensation is the only mechanism whereby a population can absorb the negative effects of take without incurring a reduction in the probability of survival in the wild. With many endangered species there is probably little known about density dependence and compensatory capacity. Under these circumstances, using multiple system models (with and without compensation) to predict the population's response to incidental take and implementing follow-up monitoring to assess species response may be valuable in increasing knowledge and improving future decision making.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.biocon.2010.10.020","usgsCitation":"McGowan, C., Ryan, M.R., Runge, M.C., Millspaugh, J.J., and Cochrane, J.F., 2011, The role of demographic compensation theory in incidental take assessments for endangered species: Biological Conservation, v. 144, no. 2, p. 730-737, https://doi.org/10.1016/j.biocon.2010.10.020.","productDescription":"8 p.","startPage":"730","endPage":"737","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":21767,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.biocon.2010.10.020","linkFileType":{"id":5,"text":"html"}},{"id":204374,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"144","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baf63e4b08c986b32475a","contributors":{"authors":[{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":350051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryan, Mark R.","contributorId":101376,"corporation":false,"usgs":true,"family":"Ryan","given":"Mark","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":350054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":350050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Millspaugh, Joshua J.","contributorId":22082,"corporation":false,"usgs":true,"family":"Millspaugh","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":350052,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cochrane, Jean Fitts","contributorId":92416,"corporation":false,"usgs":true,"family":"Cochrane","given":"Jean","email":"","middleInitial":"Fitts","affiliations":[],"preferred":false,"id":350053,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003882,"text":"70003882 - 2011 - The present and future role of coastal wetland vegetation in protecting shorelines: Answering recent challenges to the paradigm","interactions":[],"lastModifiedDate":"2012-02-02T00:16:00","indexId":"70003882","displayToPublicDate":"2012-01-08T10:42:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"The present and future role of coastal wetland vegetation in protecting shorelines: Answering recent challenges to the paradigm","docAbstract":"For more than a century, coastal wetlands have been recognized for their ability to stabilize shorelines and protect coastal communities. However, this paradigm has recently been called into question by small-scale experimental evidence. Here, we conduct a literature review and a small meta-analysis of wave attenuation data, and we find overwhelming evidence in support of established theory. Our review suggests that mangrove and salt marsh vegetation afford context-dependent protection from erosion, storm surge, and potentially small tsunami waves. In biophysical models, field tests, and natural experiments, the presence of wetlands reduces wave heights, property damage, and human deaths. Meta-analysis of wave attenuation by vegetated and unvegetated wetland sites highlights the critical role of vegetation in attenuating waves. Although we find coastal wetland vegetation to be an effective shoreline buffer, wetlands cannot protect shorelines in all locations or scenarios; indeed large-scale regional erosion, river meandering, and large tsunami waves and storm surges can overwhelm the attenuation effect of vegetation. However, due to a nonlinear relationship between wave attenuation and wetland size, even small wetlands afford substantial protection from waves. Combining man-made structures with wetlands in ways that mimic nature is likely to increase coastal protection. Oyster domes, for example, can be used in combination with natural wetlands to protect shorelines and restore critical fishery habitat. Finally, coastal wetland vegetation modifies shorelines in ways (e.g. peat accretion) that increase shoreline integrity over long timescales and thus provides a lasting coastal adaptation measure that can protect shorelines against accelerated sea level rise and more frequent storm inundation. We conclude that the shoreline protection paradigm still stands, but that gaps remain in our knowledge about the mechanistic and context-dependent aspects of shoreline protection.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10584-010-0003-7","usgsCitation":"Gedan, K.B., Kirwan, M., Wolanski, E., Barbier, E.B., and Silliman, B.R., 2011, The present and future role of coastal wetland vegetation in protecting shorelines: Answering recent challenges to the paradigm: Climatic Change, v. 106, no. 1, p. 7-29, https://doi.org/10.1007/s10584-010-0003-7.","productDescription":"23 p.","startPage":"7","endPage":"29","numberOfPages":"23","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204350,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21747,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1007/s10584-010-0003-7","linkFileType":{"id":5,"text":"html"}},{"id":112471,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www-public.jcu.edu.au/public/groups/everyone/documents/journal_article/jcuprd1_069922.pdf","linkFileType":{"id":1,"text":"pdf"}}],"volume":"106","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-12-14","publicationStatus":"PW","scienceBaseUri":"505baecde4b08c986b324352","contributors":{"authors":[{"text":"Gedan, Keryn B.","contributorId":78201,"corporation":false,"usgs":true,"family":"Gedan","given":"Keryn","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":349279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirwan, Matthew L. 0000-0002-0658-3038","orcid":"https://orcid.org/0000-0002-0658-3038","contributorId":84060,"corporation":false,"usgs":true,"family":"Kirwan","given":"Matthew L.","affiliations":[],"preferred":false,"id":349281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolanski, Eric","contributorId":82186,"corporation":false,"usgs":true,"family":"Wolanski","given":"Eric","affiliations":[],"preferred":false,"id":349280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barbier, Edward B.","contributorId":32041,"corporation":false,"usgs":true,"family":"Barbier","given":"Edward","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":349277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Silliman, Brian R.","contributorId":53659,"corporation":false,"usgs":true,"family":"Silliman","given":"Brian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":349278,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70007120,"text":"70007120 - 2011 - Nest survival of American Coots relative to grazing, burning, and water depths","interactions":[],"lastModifiedDate":"2017-08-31T13:42:01","indexId":"70007120","displayToPublicDate":"2012-01-08T09:58:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Nest survival of American Coots relative to grazing, burning, and water depths","docAbstract":"<p><span>Water and emergent vegetation are key features influencing nest site selection and success for many marsh-nesting waterbirds. Wetland management practices such as grazing, burning, and water-level manipulations directly affect these features and can influence nest survival. We used model selection and before-after-control-impact approaches to evaluate the effects of water depth and four common land-management practices or treatments, i.e., summer grazing, fall grazing, fall burning, and idle (no active treatment) on nest survival of American coots (</span><i>Fulica americana</i><span>) nesting at Grays Lake, a large montane wetland in southeast Idaho. The best model included the variables year × treatment, and quadratic functions of date, water depth, and nest age; height of vegetation at the nest did not improve the best model. However, results from the before-after-control-impact analysis indicate that management practices affected nest success via vegetation and involved interactions of hydrology, residual vegetation, and habitat composition. Nest success in idled fields changed little between pre- and post-treatment periods, whereas nest success declined in fields that were grazed or burned, with the most dramatic declines the year following treatments. The importance of water depth may be amplified in this wetland system because of rapid water-level withdrawal during the nesting season. Water and land-use values for area ranchers, management for nesting waterbirds, and long-term wetland function are important considerations in management of water levels and vegetation.</span></p>","language":"English","publisher":"Avian Conservation and Ecology","doi":"10.5751/ACE-00472-060201","usgsCitation":"Austin, J., and Buhl, D., 2011, Nest survival of American Coots relative to grazing, burning, and water depths: Avian Conservation and Ecology, v. 6, no. 2, p. 1-14, https://doi.org/10.5751/ACE-00472-060201.","productDescription":"Article 1; 14 p.","startPage":"1","endPage":"14","onlineOnly":"N","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474786,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-00472-060201","text":"Publisher Index Page"},{"id":204353,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.49818420410156,\n              42.98857645832184\n            ],\n            [\n              -111.49818420410156,\n              43.14258116631987\n            ],\n            [\n              -111.37733459472656,\n              43.14258116631987\n            ],\n            [\n              -111.37733459472656,\n              42.98857645832184\n            ],\n            [\n              -111.49818420410156,\n              42.98857645832184\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a64a3e4b0c8380cd72a07","contributors":{"authors":[{"text":"Austin, Jane E.","contributorId":43094,"corporation":false,"usgs":true,"family":"Austin","given":"Jane E.","affiliations":[],"preferred":false,"id":355866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhl, Deborah A. 0000-0002-8563-5990","orcid":"https://orcid.org/0000-0002-8563-5990","contributorId":26250,"corporation":false,"usgs":true,"family":"Buhl","given":"Deborah A.","affiliations":[],"preferred":false,"id":355865,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005854,"text":"70005854 - 2011 - The influence of the Atlantic Warm Pool on the Florida panhandle sea breeze","interactions":[],"lastModifiedDate":"2021-04-29T19:30:03.836197","indexId":"70005854","displayToPublicDate":"2012-01-08T09:33:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8111,"text":"Journal of Geophysical Research Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"The influence of the Atlantic Warm Pool on the Florida panhandle sea breeze","docAbstract":"<p><span class=\"paraNumber\"><span>&nbsp;</span></span><span>In this paper we examine the variations of the boreal summer season sea breeze circulation along the Florida panhandle coast from relatively high resolution (10 km) regional climate model integrations. The 23 year climatology (1979–2001) of the multidecadal dynamically downscaled simulations forced by the National Centers for Environmental Prediction–Department of Energy (NCEP‐DOE) Reanalysis II at the lateral boundaries verify quite well with the observed climatology. The variations at diurnal and interannual time scales are also well simulated with respect to the observations. We show from composite analyses made from these downscaled simulations that sea breezes in northwestern Florida are associated with changes in the size of the Atlantic Warm Pool (AWP) on interannual time scales. In large AWP years when the North Atlantic Subtropical High becomes weaker and moves further eastward relative to the small AWP years, a large part of the southeast U.S. including Florida comes under the influence of relatively strong anomalous low‐level northerly flow and large‐scale subsidence consistent with the theory of the Sverdrup balance. This tends to suppress the diurnal convection over the Florida panhandle coast in large AWP years. This study is also an illustration of the benefit of dynamic downscaling in understanding the low‐frequency variations of the sea breeze.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2010JD015367","usgsCitation":"Misra, V., Moeller, L., Stefanova, L., Chan, S., O’Brien, J.J., Smith, T.J., and Plant, N., 2011, The influence of the Atlantic Warm Pool on the Florida panhandle sea breeze: Journal of Geophysical Research Atmospheres, v. 116, no. 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Steven","contributorId":16971,"corporation":false,"usgs":true,"family":"Chan","given":"Steven","affiliations":[],"preferred":false,"id":353386,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Brien, James J.","contributorId":100997,"corporation":false,"usgs":true,"family":"O’Brien","given":"James","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":353391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":353385,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Plant, Nathaniel 0000-0002-5703-5672","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":81234,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353390,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70098950,"text":"70098950 - 2011 - Hyperspectral remote sensing of vegetation and agricultural crops: Knowledge gain and knowledge gap after 40 years of research","interactions":[],"lastModifiedDate":"2022-12-29T16:20:43.854976","indexId":"70098950","displayToPublicDate":"2012-01-05T13:40:08","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"28","title":"Hyperspectral remote sensing of vegetation and agricultural crops: Knowledge gain and knowledge gap after 40 years of research","docAbstract":"The focus of this chapter was to summarize the advances made over last 40+ years, as reported in various chapters of this book, in understanding, modeling, and mapping terrestrial vegetation using hyperspectral remote sensing (or imaging spectroscopy) using sensors that are ground-based, truck-mounted, airborne, and spaceborne. As we have seen in various chapters of this book and synthesized in this chapter, the advances made include: (a) significantly improved characterization and modeling of a wide array of biophysical and biochemical properties of vegetation, (b) ability to discriminate plant species and vegetation types with high degree of accuracies (c) reducing uncertainties in determining net primary productivity or carbon assessments from terrestrial vegetation, (d) improved crop productivity and water productivity models, (b), (e) ability to access stress resulting from causes such as management practices, pests and disease, water deficit or excess; , and (f) establishing more sensitive wavebands and indices to detect plant water\\moisture content. The advent of spaceborne hyperspectral sensors (e.g., NASA’s Hyperion, ESA’s PROBA, and upcoming NASA’s HyspIRI) and numerous methods and techniques espoused in this book to overcome Hughes phenomenon or data redundancy when handling large volumes of hyperspectral data have generated tremendous interest in advancing our hyperspectral applications knowledge base over larger spatial extent such as region, nation, continent, and globe.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hyperspectral remote sensing of vegetation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Thenkabail, P.S., Lyon, J., and Huete, A., 2011, Hyperspectral remote sensing of vegetation and agricultural crops: Knowledge gain and knowledge gap after 40 years of research, chap. 28 <i>of</i> Hyperspectral remote sensing of vegetation, p. 663-688.","productDescription":"26 p.","startPage":"663","endPage":"688","ipdsId":"IP-026613","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":284325,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd61d7e4b0b290850fdc57","contributors":{"editors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":509822,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lyon, John G.","contributorId":38044,"corporation":false,"usgs":true,"family":"Lyon","given":"John G.","affiliations":[],"preferred":false,"id":509820,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":742734,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":491787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyon, John G.","contributorId":38044,"corporation":false,"usgs":true,"family":"Lyon","given":"John G.","affiliations":[],"preferred":false,"id":491788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":491789,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70098951,"text":"70098951 - 2011 - Advances in hyperspectral remote sensing of vegetation and agricultural croplands","interactions":[],"lastModifiedDate":"2022-12-29T16:29:37.829469","indexId":"70098951","displayToPublicDate":"2012-01-05T13:32:59","publicationYear":"2011","noYear":false,"publicationType":{"id":4,"text":"Book"},"chapter":"1","title":"Advances in hyperspectral remote sensing of vegetation and agricultural croplands","docAbstract":"<p><span>Recent advances in hyperspectral remote sensing (or imaging spectroscopy) demonstrate a great utility for a variety of land monitoring applications. It is now possible to be diagnostic in sensing species and plant communities using remotely sensed data and to do so in a direct and informed manner using modern tools and analyses. Hyperspectral data analyses are superior to traditional broadband analyses in spectral information. Many investigations explore and document remote sensing of vegetation and agricultural croplands. Some examples include (a) detecting plant stress [1], (b) measuring chlorophyll content of plants [2], (c) identifying small differences in percent of green vegetation cover [3], (d) extracting biochemical variables such as nitrogen and lignin [2,4–6], (e) discriminating land-cover types [7], (f) detecting crop moisture variations [8], (g) sensing subtle variations in leaf pigment concentrations [2,9,10], (h) modeling biophysical and yield characteristics of agricultural crops [6,11,12], (i) improving the detection of changes in sparse vegetation [13], and (j) assessing absolute water content in plant leaves [14]. This is a fairly detailed list but not exhaustive, meant to provide the reader with a measure of the current, proven experimental capabilities, and operational applications, and stimulate investigations of new, ambitious applications.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hyperspectral remote sensing of vegetation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Thenkabail, P.S., Lyon, J., and Huete, A., 2011, Advances in hyperspectral remote sensing of vegetation and agricultural croplands, 34 p.","productDescription":"34 p.","startPage":"3","endPage":"36","ipdsId":"IP-024825","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":284322,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4b39e4b0b290850f03de","contributors":{"editors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":509825,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lyon, John G.","contributorId":38044,"corporation":false,"usgs":true,"family":"Lyon","given":"John G.","affiliations":[],"preferred":false,"id":509823,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":509824,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":491790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyon, John G.","contributorId":38044,"corporation":false,"usgs":true,"family":"Lyon","given":"John G.","affiliations":[],"preferred":false,"id":491791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":491792,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70007084,"text":"ofr20111289 - 2011 - Hydrostratigraphic interpretation of test-hole and geophysical data, Upper Loup River Basin, Nebraska, 2008-10","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"ofr20111289","displayToPublicDate":"2012-01-05T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1289","title":"Hydrostratigraphic interpretation of test-hole and geophysical data, Upper Loup River Basin, Nebraska, 2008-10","docAbstract":"Nebraska's Upper Loup Natural Resources District is currently (2011) participating in the Elkhorn-Loup Model to understand the effect of various groundwater-management scenarios on surface-water resources. During Phase 1 of the Elkhorn-Loup Model, a lack of subsurface geological information in the Upper Loup Natural Resources District, hereafter referred to as the upper Loup study area, was identified as a gap in current knowledge that needed to be addressed. To improve the understanding of the hydrogeology of the upper Loup study area, the U.S. Geological Survey, in cooperation with the Upper Loup Natural Resources District and the University of Nebraska Conservation and Survey Division, collected and described the lithology of drill cuttings from nine test holes, and concurrently collected borehole geophysical data to identify the base of the High Plains aquifer. Surface geophysical data also were collected using time-domain electromagnetic (TDEM) and audio-magnetotelluric (AMT) methods at test-hole locations and between test holes, as a quick, non-invasive means of identifying the base of the High Plains aquifer.\nTest-hole drilling has indicated greater variation in the base-of-aquifer elevation in the western part of the upper Loup study area than in the eastern part reflecting a number of deep paleovalleys incised into the Brule Formation of the White River Group. TDEM measurements within the upper Loup study area were shown to be effective as virtual boreholes in mapping out the base of the aquifer. TDEM estimates of the base of aquifer were in good accordance with existing test-hole data and were able to improve the interpreted elevation and topology of the base of the aquifer. In 2010, AMT data were collected along a profile, approximately 12 miles (19 kilometers) in length, along Whitman Road, in Grant and Cherry Counties. The AMT results along Whitman Road indicated substantial variability in the elevation of the base of the High Plains aquifer and in the distribution of highly permeable zones within the aquifer.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111289","collaboration":"Prepared in cooperation with the Upper Loup Natural Resources District and the University of Nebraska Conservation and Survey Division","usgsCitation":"Hobza, C.M., Asch, T., and Bedrosian, P.A., 2011, Hydrostratigraphic interpretation of test-hole and geophysical data, Upper Loup River Basin, Nebraska, 2008-10: U.S. Geological Survey Open-File Report 2011-1289, viii, 37 p.; Tables; Figures, https://doi.org/10.3133/ofr20111289.","productDescription":"viii, 37 p.; Tables; Figures","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":116327,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1289.jpg"},{"id":112429,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1289/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","state":"Nebraska","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a378ce4b0c8380cd60f78","contributors":{"authors":[{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":355792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":355790,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70007078,"text":"sir20115123 - 2011 - Trends in lake chemistry in response to atmospheric deposition and climate in selected Class I wilderness areas in Colorado, Idaho, Utah, and Wyoming, 1993-2009","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"sir20115123","displayToPublicDate":"2012-01-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5123","title":"Trends in lake chemistry in response to atmospheric deposition and climate in selected Class I wilderness areas in Colorado, Idaho, Utah, and Wyoming, 1993-2009","docAbstract":"In 2010, the U.S. Geological Survey, in cooperation with the U.S. Department of Agriculture Forest Service, Air Resource Management, began a study to evaluate long-term trends in lake-water chemistry for 64 high-elevation lakes in selected Class I wilderness areas in Colorado, Idaho, Utah, and Wyoming during 1993 to 2009. The purpose of this report is to describe trends in the chemical composition of these high-elevation lakes. Trends in emissions, atmospheric deposition, and climate variables (air temperature and precipitation amount) are evaluated over a similar period of record to determine likely drivers of changing lake chemistry. Sulfate concentrations in precipitation decreased over the past two decades at high-elevation monitoring stations in the Rocky Mountain region. The trend in deposition chemistry is consistent with regional declines in sulfur dioxide emissions resulting from installation of emission controls at large stationary sources. Trends in nitrogen deposition were not as widespread as those for sulfate. About one-half of monitoring stations showed increases in ammonium concentrations, but few showed significant changes in nitrate concentrations. Trends in nitrogen deposition appear to be inconsistent with available emission inventories, which indicate modest declines in nitrogen emissions in the Rocky Mountain region since the mid-1990s. This discrepancy may reflect uncertainties in emission inventories or changes in atmospheric transformations of nitrogen species that may be affecting deposition processes. Analysis of long-term climate records indicates that average annual mean air temperature minimums have increased from 0.57 to 0.75 &deg;C per decade in mountain areas of the region with warming trends being more pronounced in Colorado. Trends in annual precipitation were not evident over the period 1990 to 2006, although wetter than average years during 1995 to 1997 and drier years during 2001 to 2004 caused a notable decline in precipitation in the middle part of the record.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115123","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture Forest Service, Air Resource Management","usgsCitation":"Mast, M.A., and Ingersoll, G.P., 2011, Trends in lake chemistry in response to atmospheric deposition and climate in selected Class I wilderness areas in Colorado, Idaho, Utah, and Wyoming, 1993-2009: U.S. Geological Survey Scientific Investigations Report 2011-5123, viii, 44 p., https://doi.org/10.3133/sir20115123.","productDescription":"viii, 44 p.","onlineOnly":"Y","temporalStart":"1992-10-01","temporalEnd":"2009-09-30","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":116341,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5123.png"},{"id":112428,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5123/","linkFileType":{"id":5,"text":"html"}}],"projection":"dataUniversal Transverse Mercator project, zone 13","country":"United States","state":"Colorado;Idaho;Utah;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117,35 ], [ -117,46 ], [ -104,46 ], [ -104,35 ], [ -117,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb7ebe4b08c986b32757b","contributors":{"authors":[{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingersoll, George P. gpingers@usgs.gov","contributorId":1469,"corporation":false,"usgs":true,"family":"Ingersoll","given":"George","email":"gpingers@usgs.gov","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355789,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70007076,"text":"sir20115164 - 2011 - Pathogenic bacteria and microbial-source tracking markers in Brandywine Creek Basin, Pennsylvania and Delaware, 2009-10","interactions":[],"lastModifiedDate":"2019-07-19T09:18:06","indexId":"sir20115164","displayToPublicDate":"2012-01-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5164","title":"Pathogenic bacteria and microbial-source tracking markers in Brandywine Creek Basin, Pennsylvania and Delaware, 2009-10","docAbstract":"The City of Wilmington, Delaware, is in the downstream part of the Brandywine Creek Basin, on the main stem of Brandywine Creek. Wilmington uses this stream, which drains a mixed-land-use area upstream, for its main drinking-water supply. Because the stream is used for drinking water, Wilmington is in need of information about the occurrence and distribution of specific fecally derived pathogenic bacteria (disease-causing bacteria) and their relations to commonly measured fecal-indicator bacteria (FIB), as well as information regarding the potential sources of the fecal pollution and pathogens in the basin. This study focused on five routinely sampled sites within the basin, one each on the West Branch and the East Branch of Brandywine Creek and at three on the main stem below the confluence of the West and East Branches. These sites were sampled monthly for 1 year. Targeted event samples were collected on two occasions during high flow and two occasions during normal flow. On the basis of this study, high flows in the Brandywine Creek Basin were related to increases in FIB densities, and in the frequency of selected pathogen and source markers, in the West Branch and main stem of Brandywine Creek, but not in the East Branch. Water exceeding the moderate fullbody-contact single-sample recreational water-quality criteria (RWQC) for <em>Escherichia coli (E. coli)</em> was more likely to contain selected markers for pathogenic <em>E. coli</em> (<em>eaeA</em>,<em>stx</em><sub>1</sub>, and <em>rfb</em><sub>O157</sub> gene markers) and bovine fecal sources (<em>E. hirae</em> and LTIIa gene markers), whereas samples exceeding the enterococci RWQC were more likely to contain the same pathogenic markers but also were more likely to carry a marker indicative of human source (<em>esp</em> gene marker). On four sample dates, during high flow between October and March, the West Branch was the only observed potential contributor of selected pathogen and bovine source markers to the main stem of Brandywine Creek. Indeed, the <em>stx</em><sub>2</sub> marker, which indicates a highly virulent type of pathogenic <em>E. coli</em>, was found only in the West Branch and main stem at high flow but was not found in the East Branch under similar conditions. However, it must be noted that throughout the entire year of sampling there were occasions, during both high and normal flows, when both the East and West Branches were potential contributors of pathogen and microbial-source tracking markers to the main stem. Therefore, this study indicates that under selected conditions (high flow, October through March), West Branch Brandywine Creek Basin was the most likely source of elevated FIB densities in the main stem. These elevated densities are associated with more frequent detection of selected pathogenic <em>E. coli</em> markers (<em>rfb</em><sub>O157</sub> <em>stx</em><sub>1</sub>) and are associated with MST markers of bovine source. However, during other times of the year, both the West Branch and East Branch Basins are acting as potential sources of FIB and fecally derived pathogens.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115164","collaboration":"Prepared in cooperation with the City of Wilmington, Delaware","usgsCitation":"Duris, J.W., Reif, A.G., Olson, L.E., and Johnson, H., 2011, Pathogenic bacteria and microbial-source tracking markers in Brandywine Creek Basin, Pennsylvania and Delaware, 2009-10: U.S. Geological Survey Scientific Investigations Report 2011-5164, vi, 22 p., https://doi.org/10.3133/sir20115164.","productDescription":"vi, 22 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":116340,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5164.jpg"},{"id":112426,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5164/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Pennsylvania, Delaware","otherGeospatial":"Brandywine Creek Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76,39.666666666666664 ], [ -76,40.166666666666664 ], [ -75.5,40.166666666666664 ], [ -75.5,39.666666666666664 ], [ -76,39.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7597e4b0c8380cd77c26","contributors":{"authors":[{"text":"Duris, Joseph W. 0000-0002-8669-8109 jwduris@usgs.gov","orcid":"https://orcid.org/0000-0002-8669-8109","contributorId":1981,"corporation":false,"usgs":true,"family":"Duris","given":"Joseph","email":"jwduris@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":355783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reif, Andrew G. 0000-0002-5054-5207 agreif@usgs.gov","orcid":"https://orcid.org/0000-0002-5054-5207","contributorId":2632,"corporation":false,"usgs":true,"family":"Reif","given":"Andrew","email":"agreif@usgs.gov","middleInitial":"G.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olson, Leif E. leolson@usgs.gov","contributorId":2108,"corporation":false,"usgs":true,"family":"Olson","given":"Leif","email":"leolson@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":355784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Heather E.","contributorId":207837,"corporation":false,"usgs":false,"family":"Johnson","given":"Heather E.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":12456,"text":"former USGS scientist","active":true,"usgs":false}],"preferred":false,"id":744846,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70171021,"text":"70171021 - 2011 - Potential climate change effects on water tables and pyrite oxidation in headwater catchments in Colorado","interactions":[],"lastModifiedDate":"2016-05-17T12:03:16","indexId":"70171021","displayToPublicDate":"2012-01-02T01:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Potential climate change effects on water tables and pyrite oxidation in headwater catchments in Colorado","docAbstract":"<p>A water, energy, and biogeochemical model (WEBMOD) was constructed to simulate hydrology and pyrite oxidation for the period October 1992 through September 1997. The hydrologic model simulates processes in Loch Vale, a 6.6-km&sup2; granitic watershed that drains the east side of the Continental Divide. Parameters describing pyrite oxidation were derived sulfate concentrations measured in pore water and stream water in Handcart Gulch, a naturally acidic watershed in the Colorado Mineral Belt. Average monthly differences in precipitation and temperature between current and future climates, as predicted by using six global circulation models and three carbondioxide emission scenarios, were input into WEBMOD to identify possible shifts in the quantity and quality of the water flowing from the watershed for the period 2005 through 2100. Initial results suggest that increased air temperatures will result in earlier snowmelt compared to current conditions. Average sulfate concentrations and acidity in streams draining hydrothermally altered terrain may decrease as water tables rise in response to greater overall precipitation and earlier snowmelt, although a net increase of sulfate load was simulated as a result of greater overall discharge. Evapotranspiration is expected to increase but not enough to offset the increase in precipitation.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Observing, studying, and managing for change - Proceedings of the Fourth Interagency Conference on Research in the Watersheds: U.S. Geological Survey Scientific Investigations Report 2011–5169","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"conferenceTitle":"The Fourth Interagency Conference on Research in the Watersheds","conferenceDate":"September 26-30, 2011","conferenceLocation":"Fairbanks, AK","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Webb, R.M., Mast, M.A., Manning, A.H., Clow, D.W., and Campbell, D.H., 2011, Potential climate change effects on water tables and pyrite oxidation in headwater catchments in Colorado, <i>in</i> Observing, studying, and managing for change - Proceedings of the Fourth Interagency Conference on Research in the Watersheds: U.S. Geological Survey Scientific Investigations Report 2011–5169, Fairbanks, AK, September 26-30, 2011, p. 23-33.","productDescription":"11 p.","startPage":"23","endPage":"33","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032633","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":321302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321301,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5169/SIR11-5169_508_Session-1B.pdf","text":"Report","size":"3.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":321311,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5169/"}],"country":"United States","state":"Colorado","otherGeospatial":"Handcart Gulch, Loch Vale","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.5234375,\n              39.232253141714885\n            ],\n            [\n              -106.5234375,\n              40.95501133048621\n            ],\n            [\n              -105.0677490234375,\n              40.95501133048621\n            ],\n            [\n              -105.0677490234375,\n              39.232253141714885\n            ],\n            [\n              -106.5234375,\n              39.232253141714885\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d65fde4b07e28b6684a21","contributors":{"editors":[{"text":"Medley, C. Nicholas","contributorId":146966,"corporation":false,"usgs":false,"family":"Medley","given":"C.","email":"","middleInitial":"Nicholas","affiliations":[],"preferred":false,"id":629579,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Patterson, Glenn","contributorId":86476,"corporation":false,"usgs":true,"family":"Patterson","given":"Glenn","affiliations":[],"preferred":false,"id":629580,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Parker, Melanie J. mparker@usgs.gov","contributorId":670,"corporation":false,"usgs":true,"family":"Parker","given":"Melanie","email":"mparker@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":629581,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Webb, Richard M. 0000-0001-9531-2207 rmwebb@usgs.gov","orcid":"https://orcid.org/0000-0001-9531-2207","contributorId":1570,"corporation":false,"usgs":true,"family":"Webb","given":"Richard","email":"rmwebb@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":629565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629567,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell, Donald H. dhcampbe@usgs.gov","contributorId":1670,"corporation":false,"usgs":true,"family":"Campbell","given":"Donald","email":"dhcampbe@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":629566,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038925,"text":"70038925 - 2011 - Editor’s message: Groundwater modeling fantasies - Part 2, down to earth","interactions":[],"lastModifiedDate":"2020-01-11T10:31:11","indexId":"70038925","displayToPublicDate":"2012-01-01T18:40:55","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Editor’s message: Groundwater modeling fantasies - Part 2, down to earth","docAbstract":"<p class=\"Para\"><i class=\"EmphasisTypeItalic \">Simplicity is the final achievement. After one has played a vast quantity of notes and more notes, it is simplicity that emerges as the crowning reward of art.</i><span>&nbsp;</span>(Frédéric Chopin, a musician and composer, quoted in<span>&nbsp;</span><i class=\"EmphasisTypeItalic \">If Not God, Then What?</i><span>&nbsp;</span>by Fost<span>&nbsp;</span><span class=\"CitationRef\">2007</span>)</p><p class=\"Para\">Despite the dubious developments discussed in part 1 of this Editor’s Message (Voss<span>&nbsp;</span><span class=\"CitationRef\">2011</span>), groundwater modeling really does represent the state of the art in hydrogeology, and groundwater modeling is in fact one of our most powerful tools for enhancing hydrogeologic understanding and for informing management of subsurface resources, at least when in the hands of competent hydrologists.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-011-0790-6","usgsCitation":"Voss, C.I., 2011, Editor’s message: Groundwater modeling fantasies - Part 2, down to earth: Hydrogeology Journal, v. 19, no. 8, p. 1455-1458, https://doi.org/10.1007/s10040-011-0790-6.","productDescription":"4 p.","startPage":"1455","endPage":"1458","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":474790,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-011-0790-6","text":"Publisher Index Page"},{"id":258184,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"8","noUsgsAuthors":false,"publicationDate":"2011-11-03","publicationStatus":"PW","scienceBaseUri":"505a05aae4b0c8380cd50eca","contributors":{"authors":[{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":465259,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005417,"text":"70005417 - 2011 - Editor’s message: Groundwater modeling fantasies - Part 1, adrift in the details","interactions":[],"lastModifiedDate":"2020-01-11T10:28:19","indexId":"70005417","displayToPublicDate":"2012-01-01T18:32:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Editor’s message: Groundwater modeling fantasies - Part 1, adrift in the details","docAbstract":"<div class=\"Para\"><blockquote class=\"BlockQuote\"><p class=\"Para\"><i class=\"EmphasisTypeItalic \">Fools ignore complexity. Pragmatists suffer it. Some can avoid it. Geniuses remove it. …Simplicity does not precede complexity, but follows it.</i><span>&nbsp;</span>(<i class=\"EmphasisTypeItalic \">Epigrams in Programming</i><span>&nbsp;</span>by Alan Perlis, a computer scientist; Perlis<span>&nbsp;</span><span class=\"CitationRef\">1982</span>).</p></blockquote></div><p class=\"Para\">A doctoral student creating a groundwater model of a regional aquifer put individual circular regions around data points where he had hydraulic head measurements, so that each region’s parameter values could be adjusted to get perfect fit with the measurement at that point. Nearly every measurement point had its own parameter-value region. After calibration, the student was satisfied because his model correctly reproduced all of his data. Did he really get the true field values of parameters in this manner? Did this approach result in a realistic, meaningful and useful groundwater model?—truly doubtful. Is this story a sign of a common style of educating hydrogeology students these days? Where this is the case, major changes are needed to add back ‘common-sense hydrogeology’ to the curriculum. Worse, this type of modeling approach has become an industry trend in application of groundwater models to real systems, encouraged by the advent of automatic model calibration software that has no problem providing numbers for as many parameter value estimates as desired. Just because a computer program can easily create such values does not mean that they are in any sense useful—but unquestioning practitioners are happy to follow such software developments, perhaps because of an implied promise that highly parameterized models, here referred to as ‘complex’, are somehow superior. This and other fallacies are implicit in groundwater modeling studies, most usually not acknowledged when presenting results. This two-part Editor’s Message deals with the state of groundwater modeling: part 1 (here) focuses on problems and part 2 (Voss<span>&nbsp;</span><span class=\"CitationRef\">2011</span>) on prospects.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-011-0789-z","usgsCitation":"Voss, C.I., 2011, Editor’s message: Groundwater modeling fantasies - Part 1, adrift in the details: Hydrogeology Journal, v. 19, no. 7, p. 1281-1284, https://doi.org/10.1007/s10040-011-0789-z.","productDescription":"4 p.","startPage":"1281","endPage":"1284","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":474791,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-011-0789-z","text":"Publisher Index Page"},{"id":258182,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-10-25","publicationStatus":"PW","scienceBaseUri":"505a05a9e4b0c8380cd50ec7","contributors":{"authors":[{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":352443,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038922,"text":"70038922 - 2011 - Evaluating the potential for remote bathymetric mapping of a turbid, sand-bed river: 1. Field spectroscopy and radiative transfer modeling","interactions":[],"lastModifiedDate":"2021-03-26T21:22:33.593748","indexId":"70038922","displayToPublicDate":"2012-01-01T17:13:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the potential for remote bathymetric mapping of a turbid, sand-bed river: 1. Field spectroscopy and radiative transfer modeling","docAbstract":"Remote sensing offers an efficient means of mapping bathymetry in river systems, but this approach has been applied primarily to clear-flowing, gravel bed streams. This study used field spectroscopy and radiative transfer modeling to assess the feasibility of spectrally based depth retrieval in a sand-bed river with a higher suspended sediment concentration (SSC) and greater water turbidity. Attenuation of light within the water column was characterized by measuring the amount of downwelling radiant energy at different depths and calculating a diffuse attenuation coefficient, <i>K<sub>d</sub></i>. Attenuation was strongest in blue and near-infrared bands due to scattering by suspended sediment and absorption by water, respectively. Even for red wavelengths with the lowest values of <i>K<sub>d</sub></i>, only a small fraction of the incident light propagated to the bed, restricting the range of depths amenable to remote sensing. Spectra recorded above the water surface were used to establish a strong, linear relationship (<i>R<sup>2</sup></i> = 0.949) between flow depth and a simple band ratio; even under moderately turbid conditions, depth remained the primary control on reflectance. Constraints on depth retrieval were examined via numerical modeling of radiative transfer within the atmosphere and water column. SSC and sensor radiometric resolution limited both the maximum detectable depth and the precision of image-derived depth estimates. Thus, although field spectra indicated that the bathymetry of turbid channels could be remotely mapped, model results implied that depth retrieval in sediment-laden rivers would be limited to shallow depths (on the order of 0.5 m) and subject to a significant degree of uncertainty.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR010591","usgsCitation":"Legleiter, C.J., Kinzel, P.J., and Overstreet, B.T., 2011, Evaluating the potential for remote bathymetric mapping of a turbid, sand-bed river: 1. Field spectroscopy and radiative transfer modeling: Water Resources Research, v. 47, W09531, 19 p., https://doi.org/10.1029/2011WR010591.","productDescription":"W09531, 19 p.","numberOfPages":"19","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":474792,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr010591","text":"Publisher Index Page"},{"id":258181,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","noUsgsAuthors":false,"publicationDate":"2011-09-29","publicationStatus":"PW","scienceBaseUri":"505a0bfce4b0c8380cd529a4","contributors":{"authors":[{"text":"Legleiter, Carl J.","contributorId":85819,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":465254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overstreet, Brandon T. 0000-0001-7845-6671","orcid":"https://orcid.org/0000-0001-7845-6671","contributorId":63257,"corporation":false,"usgs":true,"family":"Overstreet","given":"Brandon","email":"","middleInitial":"T.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":465253,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005626,"text":"70005626 - 2011 - An evaluation of the Bayesian approach to fitting the N-mixture model for use with pseudo-replicated count data","interactions":[],"lastModifiedDate":"2012-08-03T01:02:04","indexId":"70005626","displayToPublicDate":"2012-01-01T16:15:20","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2463,"text":"Journal of Statistical Computation and Simulation","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of the Bayesian approach to fitting the N-mixture model for use with pseudo-replicated count data","docAbstract":"The N-mixture model proposed by Royle in 2004 may be used to approximate the abundance and detection probability of animal species in a given region. In 2006, Royle and Dorazio discussed the advantages of using a Bayesian approach in modelling animal abundance and occurrence using a hierarchical N-mixture model. N-mixture models assume replication on sampling sites, an assumption that may be violated when the site is not closed to changes in abundance during the survey period or when nominal replicates are defined spatially. In this paper, we studied the robustness of a Bayesian approach to fitting the N-mixture model for pseudo-replicated count data. Our simulation results showed that the Bayesian estimates for abundance and detection probability are slightly biased when the actual detection probability is small and are sensitive to the presence of extra variability within local sites.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Statistical Computation and Simulation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/00949655.2011.572881","usgsCitation":"Toribo, S., Gray, B., and Liang, S., 2011, An evaluation of the Bayesian approach to fitting the N-mixture model for use with pseudo-replicated count data: Journal of Statistical Computation and Simulation, v. 82, no. 8, p. 1135-1143, https://doi.org/10.1080/00949655.2011.572881.","productDescription":"9 p.","startPage":"1135","endPage":"1143","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":259090,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259086,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00949655.2011.572881","linkFileType":{"id":5,"text":"html"}}],"volume":"82","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ea53e4b0c8380cd487ab","contributors":{"authors":[{"text":"Toribo, S.G.","contributorId":6314,"corporation":false,"usgs":true,"family":"Toribo","given":"S.G.","email":"","affiliations":[],"preferred":false,"id":352978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, B. R. 0000-0001-7682-9550","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":14785,"corporation":false,"usgs":true,"family":"Gray","given":"B. R.","affiliations":[],"preferred":false,"id":352979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liang, S.","contributorId":54767,"corporation":false,"usgs":true,"family":"Liang","given":"S.","email":"","affiliations":[],"preferred":false,"id":352980,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70006173,"text":"70006173 - 2011 - The human dimension of fire regimes on Earth","interactions":[],"lastModifiedDate":"2021-04-30T11:53:48.626617","indexId":"70006173","displayToPublicDate":"2012-01-01T16:11:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"The human dimension of fire regimes on Earth","docAbstract":"<p><span>Humans and their ancestors are unique in being a fire‐making species, but ‘natural’ (i.e. independent of humans) fires have an ancient, geological history on Earth. Natural fires have influenced biological evolution and global biogeochemical cycles, making fire integral to the functioning of some biomes. Globally, debate rages about the impact on ecosystems of prehistoric human‐set fires, with views ranging from catastrophic to negligible. Understanding of the diversity of human fire regimes on Earth in the past, present and future remains rudimentary. It remains uncertain how humans have caused a departure from ‘natural’ background levels that vary with climate change. Available evidence shows that modern humans can increase or decrease background levels of natural fire activity by clearing forests, promoting grazing, dispersing plants, altering ignition patterns and actively suppressing fires, thereby causing substantial ecosystem changes and loss of biodiversity. Some of these contemporary fire regimes cause substantial economic disruptions owing to the destruction of infrastructure, degradation of ecosystem services, loss of life, and smoke‐related health effects. These episodic disasters help frame negative public attitudes towards landscape fires, despite the need for burning to sustain some ecosystems. Greenhouse gas‐induced warming and changes in the hydrological cycle may increase the occurrence of large, severe fires, with potentially significant feedbacks to the Earth system. Improved understanding of human fire regimes demands: (1) better data on past and current human influences on fire regimes to enable global comparative analyses, (2) a greater understanding of different cultural traditions of landscape burning and their positive and negative social, economic and ecological effects, and (3) more realistic representations of anthropogenic fire in global vegetation and climate change models. We provide an historical framework to promote understanding of the development and diversification of fire regimes, covering the pre‐human period, human domestication of fire, and the subsequent transition from subsistence agriculture to industrial economies. All of these phases still occur on Earth, providing opportunities for comparative research.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2699.2011.02595.x","usgsCitation":"Bowman, D.M., Balch, J., Artaxo, P., Bond, W.J., Cochrane, M.A., D'Antonio, C., Johnston, F.H., DeFries, R., Keeley, J.E., Krawchuk, M.A., Kull, C.A., Mack, M., Moritz, M., Pyne, S., Roos, C.I., Scott, A.C., Sodhi, N.S., and Swetnam, T., 2011, The human dimension of fire regimes on Earth: Journal of Biogeography, v. 38, no. 12, p. 2223-2236, https://doi.org/10.1111/j.1365-2699.2011.02595.x.","productDescription":"14 p.","startPage":"2223","endPage":"2236","numberOfPages":"14","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474794,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2699.2011.02595.x","text":"Publisher Index Page"},{"id":204266,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-09-14","publicationStatus":"PW","scienceBaseUri":"505bacc0e4b08c986b3236fb","contributors":{"authors":[{"text":"Bowman, David M. J. S.","contributorId":26803,"corporation":false,"usgs":false,"family":"Bowman","given":"David","email":"","middleInitial":"M. J. S.","affiliations":[],"preferred":false,"id":353996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balch, Jennifer","contributorId":70532,"corporation":false,"usgs":false,"family":"Balch","given":"Jennifer","affiliations":[],"preferred":false,"id":354004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Artaxo, Paulo","contributorId":10540,"corporation":false,"usgs":false,"family":"Artaxo","given":"Paulo","email":"","affiliations":[],"preferred":false,"id":353992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bond, William J.","contributorId":81621,"corporation":false,"usgs":false,"family":"Bond","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":354005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cochrane, Mark A.","contributorId":20884,"corporation":false,"usgs":false,"family":"Cochrane","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":353995,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"D'Antonio, Carla M.","contributorId":27992,"corporation":false,"usgs":false,"family":"D'Antonio","given":"Carla M.","affiliations":[],"preferred":false,"id":353997,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnston, Fay H.","contributorId":64377,"corporation":false,"usgs":false,"family":"Johnston","given":"Fay","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":354002,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeFries, Ruth","contributorId":84064,"corporation":false,"usgs":false,"family":"DeFries","given":"Ruth","affiliations":[],"preferred":false,"id":354006,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":353991,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Krawchuk, Meg A.","contributorId":13366,"corporation":false,"usgs":false,"family":"Krawchuk","given":"Meg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":353993,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kull, Christian A.","contributorId":14941,"corporation":false,"usgs":false,"family":"Kull","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":353994,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mack, Michelle","contributorId":98031,"corporation":false,"usgs":false,"family":"Mack","given":"Michelle","affiliations":[],"preferred":false,"id":354008,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Moritz, Max A.","contributorId":57586,"corporation":false,"usgs":false,"family":"Moritz","given":"Max A.","affiliations":[],"preferred":false,"id":354000,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Pyne, Stephen","contributorId":61145,"corporation":false,"usgs":false,"family":"Pyne","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":354001,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Roos, Christopher I.","contributorId":51009,"corporation":false,"usgs":false,"family":"Roos","given":"Christopher","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":353999,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Scott, Andrew C.","contributorId":43487,"corporation":false,"usgs":false,"family":"Scott","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":353998,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Sodhi, Navjot S.","contributorId":64788,"corporation":false,"usgs":false,"family":"Sodhi","given":"Navjot","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":354003,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Swetnam, Thomas W.","contributorId":90455,"corporation":false,"usgs":false,"family":"Swetnam","given":"Thomas W.","affiliations":[],"preferred":false,"id":354007,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
]}